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Gen AI Architect-Remote

mProgenUnited States🇺🇸United States

Quick overview

SeniorityMid Senior
Work modeRemote
LocationUnited States
AWSLLMGenerative AIAzureRAG

Job description

Required Skills and Experience:

·         Mandatory:

·         Proven AI transformation experience, including recent, personal delivery of production LLM applications and agents, preferably in regulated or security-sensitive environments.

·         Deep AI architecture expertise spanning model selection, orchestration, data and context layers, identity, integration, and observability.

·         Hands-on experience with multi-agent systems and Agent-to-Agent (A2A) interoperability, Model Context Protocol (MCP) servers and clients, and AI gateways for routing, access controls, guardrails, and cost governance.

·         Strong practical knowledge of RAG, GraphRAG, context engineering, agent memory, and agent frameworks or SDKs; experience applying AI coding assistants and autonomous agents across the SDLC.

·         Expertise in LLMOps, evaluation, regression testing, tracing, production monitoring, model adaptation, and inference optimization.

·         Experience implementing defenses against prompt injection and tool misuse, human approval controls, and responsible AI governance.

·         Hands-on experience with at least one major cloud AI platform—Azure AI Foundry, AWS Bedrock, or Google Vertex AI—and leading model-provider APIs.

·         Strong executive communication, team leadership, and commercial judgment, with the ability to translate complex technology into compelling business value.

Success in This Role

·         Secure, scalable AI adoption that moves beyond experimentation, delivers measurable engineering and business improvements, and maintains continuity from strategy and deal commitments through production execution.

AI Tools -

·         Azure AI Foundry

·         Agent365

·         Copilot

·         MS Purview

·         Defender

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